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A 2.5d approach to skin wrinkles segmentation
Abstract : Wrinkles or creases are common structures on surfaces. Their detection is often challenging, and can be an important step for many different applications. For instance, skin wrinkle segmentation is a crucial step for quantifying changes in skin wrinkling and assessing the beneficial effects of dermatological and cosmetic anti-ageing treatments. A 2.5D approach is proposed in this paper to segment individual wrinkles on facial skin surface described by 3D point clouds. The method, based on mathematical morphology, only needs a few physical parameters as input, namely the maximum wrinkle width, the minimum wrinkle length, and the minimum wrinkle depth. It has been applied to data acquired from eye wrinkles using a fringe projection system. An accurate evaluation was made possible thanks to manual annotations provided by three different experts. Results demonstrate the accuracy of this novel method.
Littérature citée [34 références]
https://hal-mines-paristech.archives-ouvertes.fr/hal-02428880
Contributeur : Etienne Decencière <>
Soumis le : lundi 6 janvier 2020 - 13:43:45
Dernière modification le : dimanche 19 janvier 2020 - 19:49:54
Contributeur : Etienne Decencière <>
Soumis le : lundi 6 janvier 2020 - 13:43:45
Dernière modification le : dimanche 19 janvier 2020 - 19:49:54
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